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Explore the latest advances in Latent Class Analysis, presented within this comprehensive festschrift. This collection delves into cutting-edge statistical modeling techniques, offering critical insights into modern LCA methodologies and their applications for categorical data analysis. Ideal for researchers and practitioners, it highlights significant developments and future directions in the field.

Explore the practical applications of Latent Class Analysis (LCA), a powerful statistical technique for identifying unobserved subgroups within a population. This guide covers real-world use cases, methodologies, and the benefits of applying LCA to diverse datasets for robust statistical segmentation and deeper insights into complex data structures.